自动化与仪器仪表
自動化與儀器儀錶
자동화여의기의표
AUTOMATION & INSTRUMENTATION
2013年
3期
42-45
,共4页
高校排课问题%三维编码%自适应%遗传算法
高校排課問題%三維編碼%自適應%遺傳算法
고교배과문제%삼유편마%자괄응%유전산법
University Timetabling Problem%Three-dimensional code%adaptation%Genetic Algorithm
根据教师、学生、课程、教室和时间要求建立多约束数学模型,并结合遗传算法特点,对其各个步骤进行了改进,提出了基于三维自适应遗传算法的排课方法.实验结果表明,与传统排课方法相比,基于三维自适应遗传算法的排课方法能有效降低课程之间的冲突率,提高排课效率和成功率.
根據教師、學生、課程、教室和時間要求建立多約束數學模型,併結閤遺傳算法特點,對其各箇步驟進行瞭改進,提齣瞭基于三維自適應遺傳算法的排課方法.實驗結果錶明,與傳統排課方法相比,基于三維自適應遺傳算法的排課方法能有效降低課程之間的遲突率,提高排課效率和成功率.
근거교사、학생、과정、교실화시간요구건립다약속수학모형,병결합유전산법특점,대기각개보취진행료개진,제출료기우삼유자괄응유전산법적배과방법.실험결과표명,여전통배과방법상비,기우삼유자괄응유전산법적배과방법능유효강저과정지간적충돌솔,제고배과효솔화성공솔.
According to the requirements of teachers, students, curriculum, time and classroom in University Timetabling Prob-lem, a multi-constrained mathematical model is established. Combining characteristics of genetic algorithm with improvements on its corresponding steps, a timetable method based on three-dimensional adaptive genetic algorithm is proposed. Experimental results indicate that, contrast to traditional timetable, its performance improve the timetable effectively and reduce the rate of conflicts be-tween the courses substantially.